The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-20"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "14703293 (up from 14507491 yesterday: 1.35 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "609887 (up from 606173 yesterday: 0.61 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4401142

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.15



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3830010 56750 1.50 1239359 140906 372 0.26 3.68
Brazil 2118646 20257 0.97 750451 80120 632 0.80 3.78
India 1155338 37132 3.32 588498 28082 585 2.13 2.43
Russia 776212 5901 0.77 135966 12408 85 0.69 1.60
South Africa 373628 9300 2.55 229364 5173 140 2.78 1.38
Peru 353590 0 0.00 71225 13187 0 0.00 3.73
Mexico 349396 5172 1.50 128739 39485 301 0.77 11.30
Chile 330930 0 0.00 54931 8503 0 0.00 2.57
United Kingdom 296944 586 0.20 -16526 45397 12 0.03 15.29
Iran 276202 2414 0.88 50997 14405 217 1.53 5.22
Pakistan 266096 1013 0.38 56759 5639 40 0.71 2.12
Spain 264836 4581 1.76 15866 28422 2 0.01 10.73
Saudi Arabia 253349 2429 0.97 66913 2523 37 1.49 1.00
Italy 244624 190 0.08 4188 35058 13 0.04 14.33
Turkey 220572 931 0.42 21959 5508 17 0.31 2.50
France 214023 2080 0.98 12501 30180 25 0.08 14.10
Bangladesh 207453 2928 1.43 65652 2668 50 1.91 1.29
Colombia 204005 6727 3.41 112010 6929 193 2.87 3.40
Germany 203325 590 0.29 8283 9094 2 0.02 4.47
Argentina 130774 4019 3.17 68506 2373 113 5.00 1.81
Canada 112938 770 0.69 7108 8902 6 0.07 7.88
Qatar 107037 389 0.36 11931 159 2 1.27 0.15
Iraq 94693 2163 2.34 47542 3869 88 2.33 4.09
Egypt 88402 627 0.71 21648 4352 50 1.16 4.92
Indonesia 88214 1693 1.96 33122 4239 96 2.32 4.81
China 85314 0 0.00 534 4644 0 0.00 5.44
Sweden 78048 767 0.99 10381 5639 20 0.36 7.23
Ecuador 74620 607 0.82 18955 5318 5 0.09 7.13
Kazakhstan 73468 1630 2.27 51649 585 210 56.00 0.80
Philippines 68898 1442 2.14 32460 1835 4 0.22 2.66
Oman 68400 1739 2.61 29340 326 8 2.52 0.48
Belarus 66213 118 0.18 4423 503 4 0.80 0.76
Belgium 64094 388 0.61 2733 9805 5 0.05 15.30
Bolivia 60991 1409 2.36 28866 2218 67 3.11 3.64
Ukraine 60767 690 1.15 16229 1517 13 0.86 2.50
Kuwait 59763 559 0.94 14239 408 0 0.00 0.68
United Arab Emirates 57193 271 0.48 8947 340 1 0.29 0.59
Panama 54426 958 1.79 21641 1127 31 2.83 2.07
Dominican Republic 53956 1101 2.08 22140 993 12 1.22 1.84
Netherlands 52142 187 0.36 1709 6155 0 0.00 11.80
Israel 52003 1714 3.41 27562 415 6 1.47 0.80
Portugal 48771 135 0.28 6859 1691 2 0.12 3.47
Singapore 48035 123 0.26 4374 27 0 0.00 0.06
Poland 40383 279 0.70 6229 1627 3 0.18 4.03
Guatemala 39039 362 0.94 21630 1502 17 1.14 3.85
Romania 38139 681 1.82 11557 2038 12 0.59 5.34
Nigeria 37225 562 1.53 12092 801 12 1.52 2.15
Bahrain 36936 514 1.41 10697 128 2 1.59 0.35
Afghanistan 35526 51 0.14 4288 1185 4 0.34 3.34
Armenia 34981 104 0.30 9854 650 9 1.40 1.86
Honduras 34611 776 2.29 15793 935 35 3.89 2.70
Switzerland 33634 43 0.13 1982 1971 2 0.10 5.86
Ghana 28430 763 2.76 11079 153 5 3.38 0.54
Azerbaijan 27890 369 1.34 10922 363 9 2.54 1.30
Kyrgyzstan 27143 0 0.00 21847 1037 0 0.00 3.82
Ireland 25766 6 0.02 304 1753 0 0.00 6.80
Japan 25706 260 1.02 7230 988 2 0.20 3.84
Algeria 23691 607 2.63 10120 1087 9 0.83 4.59
Serbia 21253 359 1.72 6965 482 10 2.12 2.27
Moldova 21115 135 0.64 4758 695 11 1.61 3.29
Austria 19743 88 0.45 2020 711 0 0.00 3.60
Nepal 17844 186 1.05 4596 40 0 0.00 0.22
Morocco 17562 326 1.89 5272 276 3 1.10 1.57
Uzbekistan 17149 397 2.37 8927 90 3 3.45 0.52
Cameroon 16157 0 0.00 3565 373 0 0.00 2.31
Cote d’Ivoire 14312 193 1.37 5098 92 0 0.00 0.64
Czechia 14098 153 1.10 2293 359 0 0.00 2.55
Korea, South 13816 45 0.33 1016 296 0 0.00 2.14
Kenya 13771 418 3.13 7581 238 4 1.71 1.73
Denmark 13466 89 0.67 515 611 0 0.00 4.54
Australia 12428 359 2.97 4594 126 3 2.44 1.01
Venezuela 12334 443 3.73 6804 116 4 3.57 0.94
El Salvador 12207 361 3.05 6034 344 9 2.69 2.82
Costa Rica 11534 420 3.78 8265 66 4 6.45 0.57
Sudan 10992 0 0.00 1735 693 0 0.00 6.30
Ethiopia 10207 704 7.41 4361 170 3 1.80 1.67

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 407326 519 0.13 13923 32506 11 0.03 7.98 20938.38 1670.95 1 in 48
California 397870 10964 2.83 174224 7770 55 0.71 1.95 10069.54 196.65 1 in 99
Florida 360394 10347 2.96 214053 5072 90 1.81 1.41 16779.89 236.15 1 in 60
Texas 343783 8526 2.54 187077 4106 94 2.34 1.19 11856.27 141.61 1 in 84
New Jersey 176963 180 0.10 5691 15715 9 0.06 8.88 19923.35 1769.27 1 in 50
Illinois 163922 1172 0.72 21461 7494 6 0.08 4.57 12935.95 591.39 1 in 77
Georgia 145582 2453 1.71 66165 3177 3 0.09 2.18 13711.61 299.23 1 in 73
Arizona 145183 1559 1.09 70638 2784 23 0.83 1.92 19065.67 365.60 1 in 52
Massachusetts 113789 255 0.22 5021 8433 2 0.02 7.41 16373.69 1213.47 1 in 61
Pennsylvania 101738 -3646 -3.46 11271 7018 -4 -0.06 6.90 7947.05 548.20 1 in 126
North Carolina 101231 1428 1.43 37495 1677 25 1.51 1.66 9652.00 159.90 1 in 104
Louisiana 94892 3186 3.47 37811 3462 -81 -2.29 3.65 20412.18 744.71 1 in 49
Michigan 82395 527 0.64 12172 6373 7 0.11 7.73 8250.34 638.14 1 in 121
Tennessee 79754 1639 2.10 37457 847 4 0.47 1.06 11671.59 123.95 1 in 86
Maryland 78685 554 0.71 11431 3382 5 0.15 4.30 13015.08 559.41 1 in 77
Virginia 78375 945 1.22 16186 2031 4 0.20 2.59 9182.22 237.95 1 in 109
Ohio 76168 1236 1.65 25122 3189 15 0.47 4.19 6516.16 272.82 1 in 153
South Carolina 71445 1459 2.08 36801 1164 9 0.78 1.63 13876.28 226.08 1 in 72
Alabama 68891 1880 2.81 31716 1291 4 0.31 1.87 14050.26 263.30 1 in 71
Indiana 57206 635 1.12 11978 2825 3 0.11 4.94 8497.35 419.62 1 in 118
Connecticut 48055 162 0.34 1693 4406 10 0.23 9.17 13478.58 1235.81 1 in 74
Washington 47743 797 1.70 15490 1453 6 0.41 3.04 6269.69 190.81 1 in 159
Minnesota 47107 903 1.95 11246 1585 4 0.25 3.36 8352.85 281.05 1 in 120
Mississippi 43889 1251 2.93 17322 1358 3 0.22 3.09 14746.91 456.29 1 in 68
Wisconsin 43018 703 1.66 14960 846 2 0.24 1.97 7388.32 145.30 1 in 135
Colorado 40548 424 1.06 8054 1758 6 0.34 4.34 7041.13 305.28 1 in 142
Iowa 39343 530 1.37 10498 798 5 0.63 2.03 12469.77 252.93 1 in 80
Nevada 36713 948 2.65 18819 648 1 0.15 1.77 11919.20 210.38 1 in 84
Utah 34526 409 1.20 12862 247 4 1.65 0.72 10769.32 77.04 1 in 93
Missouri 34102 581 1.73 13277 1138 2 0.18 3.34 5556.40 185.42 1 in 180
Arkansas 33927 699 2.10 13670 363 6 1.68 1.07 11242.20 120.29 1 in 89
Oklahoma 25436 170 0.67 12261 452 1 0.22 1.78 6428.15 114.23 1 in 156
Kentucky 23414 253 1.09 8067 671 1 0.15 2.87 5240.76 150.19 1 in 191
Nebraska 22847 264 1.17 3805 313 12 3.99 1.37 11810.85 161.81 1 in 85
Kansas 22656 660 3.00 8447 312 3 0.97 1.38 7776.71 107.09 1 in 129
Rhode Island 17904 111 0.62 1140 995 5 0.51 5.56 16900.75 939.25 1 in 59
New Mexico 17215 244 1.44 5233 578 7 1.23 3.36 8210.02 275.65 1 in 122
Idaho 15268 394 2.65 9516 122 3 2.52 0.80 8519.78 68.08 1 in 117
Oregon 14847 268 1.84 6362 262 2 0.77 1.76 3520.13 62.12 1 in 284
Delaware 13624 105 0.78 2248 523 0 0.00 3.84 13991.07 537.09 1 in 71
Puerto Rico 12461 398 3.30 5211 180 2 1.12 1.44 3901.75 56.36 1 in 256
District of Columbia 11339 78 0.69 1047 579 1 0.17 5.11 16066.62 820.40 1 in 62
South Dakota 7943 37 0.47 1227 118 0 0.00 1.49 8978.60 133.38 1 in 111
New Hampshire 6249 46 0.74 489 398 0 0.00 6.37 4595.83 292.71 1 in 218
North Dakota 5126 107 2.13 1587 93 1 1.09 1.81 6726.49 122.04 1 in 149
West Virginia 5084 94 1.88 2214 100 0 0.00 1.97 2844.76 55.96 1 in 352
Maine 3711 24 0.65 492 117 0 0.00 3.15 2760.73 87.04 1 in 362
Montana 2620 87 3.43 1701 39 2 5.41 1.49 2451.40 36.49 1 in 408
Wyoming 2187 61 2.87 737 24 -1 -4.00 1.10 3778.77 41.47 1 in 265
Alaska 1950 75 4.00 1049 18 0 0.00 0.92 2665.59 24.61 1 in 375
Hawaii 1393 12 0.87 493 24 0 0.00 1.72 983.85 16.95 1 in 1016
Vermont 1360 10 0.74 152 56 0 0.00 4.12 2179.53 89.75 1 in 459

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 5164812 407326 7.89 1301899 13923 1.07 265494.43
2 California 6414321 397870 6.20 2352629 174224 7.41 162337.64
3 Florida 3052106 360394 11.81 1139363 214053 18.79 142105.57
4 Texas 2984554 343783 11.52 1165365 187077 16.05 102930.27
5 New Jersey 1802874 176963 9.82 398890 5691 1.43 202976.29
6 Illinois 2280284 163922 7.19 707335 21461 3.03 179949.20
7 Georgia 1273781 145582 11.43 450664 66165 14.68 119970.83
8 Arizona 793523 145183 18.30 282100 70638 25.04 104206.72
9 Massachusetts 1051281 113789 10.82 208994 5021 2.40 151274.27
10 Pennsylvania 1039913 101738 9.78 287024 11271 3.93 81230.58
11 North Carolina 1423888 101231 7.11 537583 37495 6.97 135762.45
12 Louisiana 1102924 94892 8.60 398287 37811 9.49 237249.49
13 Michigan 1506789 82395 5.47 477414 12172 2.55 150877.20
14 Tennessee 1215167 79754 6.56 437961 37457 8.55 177833.46
15 Maryland 749279 78685 10.50 219966 11431 5.20 123936.27
16 Virginia 920461 78375 8.51 284089 16186 5.70 107838.90
17 Ohio 1181912 76168 6.44 407530 25122 6.16 101112.32
18 South Carolina 588316 71445 12.14 219011 36801 16.80 114264.65
19 Alabama 593788 68891 11.60 200495 31716 15.82 121102.51
20 Indiana 635660 57206 9.00 159141 11978 7.53 94420.58
21 Connecticut 657293 48055 7.31 212317 1693 0.80 184359.07
22 Washington 809339 47743 5.90 274896 15490 5.63 106283.70
23 Minnesota 867410 47107 5.43 274455 11246 4.10 153806.13
24 Mississippi 389975 43889 11.25 106453 17322 16.27 131033.43
25 Wisconsin 783866 43018 5.49 225474 14960 6.63 134628.58
26 Colorado 442169 40548 9.17 122604 8054 6.57 76782.30
27 Iowa 418544 39343 9.40 117699 10498 8.92 132657.60
28 Nevada 395421 36713 9.28 122404 18819 15.37 128376.94
29 Utah 469404 34526 7.36 135499 12862 9.49 146416.14
30 Missouri 571912 34102 5.96 204506 13277 6.49 93184.31
31 Arkansas 432816 33927 7.84 130280 13670 10.49 143419.85
32 Oklahoma 476108 25436 5.34 149915 12261 8.18 120321.33
33 Kentucky 494154 23414 4.74 132713 8067 6.08 110606.57
34 Nebraska 234896 22847 9.73 59624 3805 6.38 121430.43
35 Kansas 261531 22656 8.66 84806 8447 9.96 89770.96
36 Rhode Island 183625 17904 9.75 -54895 1140 -2.08 173335.62
37 New Mexico 469215 17215 3.67 138167 5233 3.79 223773.61
38 Idaho 147888 15268 10.32 61543 9516 15.46 82523.79
39 Oregon 340044 14847 4.37 104911 6362 6.06 80622.38
40 Delaware 152995 13624 8.90 43064 2248 5.22 157117.12
42 District of Columbia 151740 11339 7.47 56380 1047 1.86 215005.62
43 South Dakota 98654 7943 8.05 19197 1227 6.39 111516.41
44 New Hampshire 143378 6249 4.36 25080 489 1.95 105447.41
45 North Dakota 135978 5126 3.77 30287 1587 5.24 178434.30
46 West Virginia 234980 5084 2.16 65325 2214 3.39 131483.31
47 Maine 139222 3711 2.67 45699 492 1.08 103571.46
48 Montana 139042 2620 1.88 50299 1701 3.38 130094.37
49 Wyoming 44114 2187 4.96 12258 737 6.01 76221.71
50 Alaska 175586 1950 1.11 66877 1049 1.57 240020.78
51 Hawaii 105956 1393 1.31 28801 493 1.71 74834.45
52 Vermont 83868 1360 1.62 18875 152 0.81 134406.22

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 318695 8240 2.65 182217 57.18 123900 12276 422 3.56 3.85
Tamil Nadu 180643 4965 2.83 126670 70.12 51347 2626 75 2.94 1.45
Delhi 125096 1349 1.09 106118 84.83 15288 3690 27 0.74 2.95
Karnataka 71069 7297 11.44 25460 35.82 44136 1469 133 9.96 2.07
Andhra Pradesh 58668 4944 9.20 25574 43.59 32336 758 62 8.91 1.29
Uttar Pradesh 53288 4041 8.21 31855 59.78 20204 1229 83 7.24 2.31
Gujarat 50465 1026 2.08 36504 72.34 11761 2200 34 1.57 4.36
West Bengal 47030 4543 10.69 28035 59.61 17813 1182 70 6.29 2.51
Telangana 46274 1198 2.66 34323 74.17 11529 422 7 1.69 0.91
Rajasthan 30741 906 3.04 22299 72.54 7868 574 11 1.95 1.87
Bihar 28564 1109 4.04 18741 65.61 9624 198 11 5.88 0.69
Haryana 27462 604 2.25 20952 76.29 6146 364 9 2.54 1.33
Assam 25093 1093 4.55 17096 68.13 7925 69 7 11.29 0.27
Madhya Pradesh 24095 785 3.37 16257 67.47 7082 756 18 2.44 3.14
Odisha 18757 647 3.57 13310 70.96 5314 133 8 6.40 0.71
Jammu and Kashmir 14650 751 5.40 8274 56.48 6122 254 10 4.10 1.73
Kerala 13995 716 5.39 5890 42.09 8056 45 1 2.27 0.32
Punjab 10889 379 3.61 7389 67.86 3237 263 1 0.38 2.42
Jharkhand 5821 222 3.96 2835 48.70 2931 55 6 12.24 0.94
Chhattisgarh 5598 173 3.19 3944 70.45 1626 28 4 16.67 0.50
Uttarakhand 4852 337 7.46 3297 67.95 1462 55 3 5.77 1.13
Goa 4027 370 10.12 2449 60.81 1552 26 4 18.18 0.65
Tripura 3093 202 6.99 1845 59.65 1227 7 2 40.00 0.23
Puducherry 2179 87 4.16 1318 60.49 831 30 1 3.45 1.38
Manipur 2015 90 4.68 1384 68.68 631 0 0 NaN 0.00
Himachal Pradesh 1656 95 6.09 1068 64.49 562 11 1 10.00 0.66
Ladakh 1198 3 0.25 1010 84.31 186 2 0 0.00 0.17
Nagaland 1030 9 0.88 485 47.09 545 0 0 NaN 0.00
Arunachal Pradesh 790 50 6.76 285 36.08 502 3 0 0.00 0.38
Chandigarh 751 12 1.62 518 68.97 221 12 0 0.00 1.60
Dadra and Nagar Haveli and Daman and Diu 738 27 3.80 474 64.23 252 2 0 0.00 0.27
Meghalaya 490 27 5.83 70 14.29 416 4 0 0.00 0.82
Sikkim 343 47 15.88 108 31.49 222 0 0 NaN 0.00
Mizoram 297 13 4.58 168 56.57 129 0 0 NaN 0.00
Andaman and Nicobar Islands 207 4 1.97 151 72.95 55 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1206495 95548 56 0.06 7.92 151 21 7141 16796 17.58
Piemonte 468990 31537 1 0.00 6.72 150 6 833 4120 13.06
Emilia-Romagna 578586 29220 42 0.14 5.05 91 6 1298 4277 14.64
Veneto 1123386 19649 42 0.21 1.75 35 2 609 2050 10.43
Toscana 391998 10375 1 0.01 2.65 10 0 324 1130 10.89
Liguria 172251 10105 12 0.12 5.87 28 0 185 1565 15.49
Lazio 389441 8450 14 0.17 2.17 175 9 885 851 10.07
Marche 156150 6811 0 0.00 4.36 2 1 146 987 14.49
P.A. Trento 141389 4889 4 0.08 3.46 1 0 20 405 8.28
Campania 312536 4833 6 0.12 1.55 32 0 296 433 8.96
Puglia 216402 4557 0 0.00 2.11 14 0 79 548 12.03
Friuli Venezia Giulia 227019 3356 4 0.12 1.48 7 0 99 345 10.28
Abruzzo 119651 3342 6 0.18 2.79 13 0 121 468 14.00
Sicilia 249824 3144 2 0.06 1.26 10 2 157 283 9.00
P.A. Bolzano 96471 2684 0 0.00 2.78 6 0 100 292 10.88
Umbria 111968 1456 0 0.00 1.30 6 0 12 80 5.49
Sardegna 98802 1379 0 0.00 1.40 7 0 12 134 9.72
Calabria 110657 1239 0 0.00 1.12 3 0 71 97 7.83
Valle d’Aosta 20270 1196 0 0.00 5.90 1 0 1 146 12.21
Molise 25745 446 0 0.00 1.73 1 0 8 23 5.16
Basilicata 44271 408 0 0.00 0.92 2 0 7 28 6.86

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57616 150 0.26 5657 2 0.04 9.82 6748.44 662.59 1 in 148
Ontario 39553 119 0.30 2795 1 0.04 7.07 2688.52 189.98 1 in 372
Alberta 9587 368 3.99 170 3 1.80 1.77 2172.37 38.52 1 in 460
British Columbia 3300 102 3.19 189 0 0.00 5.73 645.68 36.98 1 in 1549
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 962 19 2.01 15 0 0.00 1.56 814.10 12.69 1 in 1228
Manitoba 354 11 3.21 7 0 0.00 1.98 256.98 5.08 1 in 3891
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 170 1 0.59 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 0 0.00 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 1655 10 0.60
Guangdong 1650 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 77 3 3.90
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 11705.41 430.64 1 in 85
Brazil 10122.53 382.80 1 in 99
India 862.84 20.97 1 in 1159
Russia 5371.71 85.87 1 in 186
South Africa 6587.24 91.20 1 in 152
Peru 10991.30 409.92 1 in 91
Mexico 2704.30 305.61 1 in 370
Chile 18334.07 471.08 1 in 55
United Kingdom 4469.36 683.28 1 in 224
Iran 3403.18 177.49 1 in 294
Pakistan 1350.74 28.62 1 in 740
Spain 5675.87 609.13 1 in 176
Saudi Arabia 7691.23 76.59 1 in 130
Italy 4044.71 579.66 1 in 247
Turkey 2729.51 68.16 1 in 366
France 3194.85 450.52 1 in 313
Bangladesh NA NA 1 in NA
Colombia 4157.43 141.21 1 in 241
Germany 2455.91 109.84 1 in 407
Argentina 2954.01 53.60 1 in 339

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 221703 23411 10.56
Los Angeles California 159045 4104 2.58
Cook Illinois 99052 4777 4.82
Maricopa Arizona 96711 1485 1.54
Miami-Dade Florida 87035 1309 1.50
Harris Texas 57071 545 0.95
Nassau New York 42678 2193 5.14
Suffolk New York 42496 1994 4.69
Dallas Texas 42292 526 1.24
Broward Florida 40976 512 1.25
Westchester New York 35551 1440 4.05
Bexar Texas 31316 262 0.84
Clark Nevada 31312 527 1.68
Orange California 29986 494 1.65
Riverside California 29983 588 1.96
Palm Beach Florida 26426 685 2.59
Wayne Michigan 25227 2781 11.02
Middlesex Massachusetts 24958 1948 7.81
San Diego California 24135 478 1.98
Hillsborough Florida 24135 243 1.01
San Bernardino California 24099 329 1.37
Philadelphia Pennsylvania 23925 1658 6.93
Orange Florida 23584 119 0.50
Tarrant Texas 22002 299 1.36
Prince George’s Maryland 20690 723 3.49
Suffolk Massachusetts 20621 1035 5.02
Bergen New Jersey 20034 2033 10.15
Hudson New Jersey 19263 1498 7.78
Essex New Jersey 19121 2093 10.95
Travis Texas 17646 203 1.15
Mecklenburg North Carolina 17571 179 1.02
Duval Florida 17245 98 0.57
Passaic New Jersey 17172 1239 7.22
Middlesex New Jersey 17168 1397 8.14
Fairfield Connecticut 17112 1399 8.18
Essex Massachusetts 16757 1143 6.82
Shelby Tennessee 16702 245 1.47
Salt Lake Utah 16693 138 0.83
Union New Jersey 16517 1344 8.14
Montgomery Maryland 16433 772 4.70
Milwaukee Wisconsin 16275 411 2.53
Davidson Tennessee 16223 166 1.02
Fairfax Virginia 14934 508 3.40
Hennepin Minnesota 14835 802 5.41
Franklin Ohio 14246 468 3.29
Rockland New York 13798 672 4.87
Pinellas Florida 13705 323 2.36
Providence Rhode Island 13674 0 0.00
Gwinnett Georgia 13614 199 1.46
Pima Arizona 13594 382 2.81
Oakland Michigan 13442 1117 8.31
Fulton Georgia 13379 340 2.54
King Washington 13319 636 4.78
Lee Florida 12906 232 1.80
Worcester Massachusetts 12859 969 7.54
Marion Indiana 12843 706 5.50
New Haven Connecticut 12788 1092 8.54
Hidalgo Texas 12787 318 2.49
Out of GA Georgia 12787 63 0.49
Jefferson Louisiana 12486 501 4.01
Hartford Connecticut 12082 1406 11.64
El Paso Texas 11769 184 1.56
District of Columbia District of Columbia 11339 579 5.11
Orange New York 10938 484 4.42
Lake Illinois 10896 433 3.97
Cuyahoga Ohio 10713 424 3.96
Fresno California 10639 100 0.94
DuPage Illinois 10317 498 4.83
Ocean New Jersey 9956 1010 10.14
Polk Florida 9877 176 1.78
Baltimore Maryland 9828 512 5.21
DeKalb Georgia 9800 188 1.92
Norfolk Massachusetts 9737 968 9.94
Monmouth New Jersey 9672 849 8.78
Charleston South Carolina 9623 88 0.91
Baltimore City Maryland 9505 384 4.04
Orleans Louisiana 9379 546 5.82
Yuma Arizona 9374 183 1.95
Alameda California 9256 162 1.75
Kern California 9234 105 1.14
Yakima Washington 9185 195 2.12
Montgomery Pennsylvania 9182 837 9.12
St. Louis Missouri 9114 610 6.69
Jefferson Alabama 8901 185 2.08
Wake North Carolina 8897 89 1.00
Plymouth Massachusetts 8894 696 7.83
Nueces Texas 8816 103 1.17
Bristol Massachusetts 8719 610 7.00
Douglas Nebraska 8715 116 1.33
Imperial California 8606 163 1.89
Greenville South Carolina 8583 133 1.55
East Baton Rouge Louisiana 8578 289 3.37
Cobb Georgia 8510 264 3.10
Polk Iowa 8465 189 2.23
Denver Colorado 8429 398 4.72
Macomb Michigan 8418 934 11.10
Kane Illinois 8406 289 3.44
San Joaquin California 8321 94 1.13
Prince William Virginia 8190 162 1.98
Erie New York 8046 657 8.17

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc